code: def test_masked_case(self):
      metric = Entropy()
      # This would have non-zero entropy without the mask.
      logits = torch.Tensor(
          [[1, 1, 1, 1], [10000, -10000, -10000, -1000]]
      )
      mask = torch.Tensor([0, 1])
      metric(logits, mask)
      assert metric.get_metric() == 0.0
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/training/metrics/entropy_test.py
imports: from __future__ import absolute_import
  import torch
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.training.metrics import Entropy
label_desc: Use image node_id 3 for calling the EntropyTest obj's underlying member method code with example usage: obj.test_masked_case() without return types